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<table width="100%" summary="page for H_environmental"><tr><td>H_environmental</td><td style="text-align: right;">R Documentation</td></tr></table>

<h2> Atmospheric environmental conditions in New York City </h2>

<h3>Description</h3>

<p>Daily measurements of ozone concentration, wind speed, temperature and
solar radiation in New York City from May to September of 1973.
</p>


<h3>Usage</h3>

<pre>environmental</pre>


<h3>Format</h3>

<p>A data frame with 111 observations on the following 4 variables.
</p>

<dl>
<dt>ozone</dt><dd><p>Average ozone concentration (of hourly measurements) of
in parts per billion.</p>
</dd>
<dt>radiation</dt><dd><p>Solar radiation (from 08:00 to 12:00) in langleys.</p>
</dd>
<dt>temperature</dt><dd><p>Maximum daily emperature in degrees Fahrenheit.</p>
</dd>
<dt>wind</dt><dd><p>Average wind speed (at 07:00 and 10:00) in miles per hour.</p>
</dd>
</dl>



<h3>Author(s)</h3>

<p>Documentation contributed by Kevin Wright.
</p>


<h3>Source</h3>

<p>Bruntz, S. M., W. S. Cleveland, B. Kleiner, and J. L. Warner.  (1974).
The Dependence of Ambient Ozone on Solar Radiation, Wind, Temperature,
and Mixing Height.  In <em>Symposium on Atmospheric Diffusion and
Air Pollution</em>, pages 125&ndash;128.  American Meterological Society,
Boston.
</p>


<h3>References</h3>

<p>Cleveland, William S. (1993) <em>Visualizing Data</em>.  Hobart Press,
Summit, New Jersey.
</p>


<h3>Examples</h3>

<pre>
# Scatter plot matrix with loess lines
splom(~environmental,
  panel=function(x,y){
    panel.xyplot(x,y)
    panel.loess(x,y)
  }
)


# Conditioned plot similar to figure 5.3 from Cleveland
attach(environmental)
Temperature &lt;- equal.count(temperature, 4, 1/2)
Wind &lt;- equal.count(wind, 4, 1/2)
xyplot((ozone^(1/3)) ~ radiation | Temperature * Wind,
  aspect=1,
	prepanel = function(x, y) 
		prepanel.loess(x, y, span = 1),
	panel = function(x, y){
		panel.grid(h = 2, v = 2)
		panel.xyplot(x, y, cex = .5)
		panel.loess(x, y, span = 1)
	},
	xlab = "Solar radiation (langleys)",
	ylab = "Ozone (cube root ppb)")
detach()

# Similar display using the coplot function
with(environmental,{
  coplot((ozone^.33) ~ radiation | temperature * wind,
  number=c(4,4),
  panel = function(x, y, ...) panel.smooth(x, y, span = .8, ...),
  xlab="Solar radiation (langleys)",
  ylab="Ozone (cube root ppb)")
})
</pre>


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